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Big Data & Hadoop Courses, Certification & Training by Skillsoft

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The certification in big data and Hadoop is designed to provide in-depth skills encompassing Hbase, Flume, MapReduce, HDFS and YARN. Big data is emerging as one of the most important technologies in today’s business environment. These technologies are vital in offering more accurate analysis which can lead to more real-life examples following reduced risks for the business, greater operational efficiencies and cost reductions. This is an industry recognized certification program that can help you to gain the most-sought after technical skills.
Naukri Learning courses helps you brush up your analytical skills through an implementation of real life industry projects so that you are good on your big data and Hadoop learning path. Moreover, it gives you the required experience to meet the current and upcoming challenges in IT.

The certification in big data and Hadoop is designed to provide in-depth skills encompassing Hbase, Flume, MapReduce, HDFS and YARN. Big data is emerging as one of the most important technologies in today’s business environment. These technologies are vital in offering more accurate analysis which can lead to more real-life examples following reduced risks for the business, greater operational efficiencies and cost reductions. This is an industry recognized certification program that can help you to gain the most-sought after technical skills.
Naukri Learning courses helps you brush up your analytical skills through an implementation of real life industry projects so that you are good on your big data and Hadoop learning path. Moreover, it gives you the required experience to meet the current and upcoming challenges in IT.

A lot of organizations from different domains are recognizing the potential of big data and Hadoop and are opening numerous job opportunities for the big data and Hadoop practitioners who have certifications to prove their mettle. A certification course confirms that an aspirant has a knowledge of the most recent big data and Hadoop highlights and is helpful to help the candidate reach newer heights in career. Other reasons to opt for this certification are:
• Offers an edge over other experts in the same domain
• Authenticates your hands-on experience with big data
• Accelerates your career

Anyone who wants to dig into the data with a knowledge of any programming language like C, Linux, Java or Python & Machine Learning will be an added advantage. This online training program is a stepping stone for the people who aspire to make it big in big data and can get a superb opportunity to work on a data-set of their own choice. Big data and Hadoop practitioners are among the highest paid IT professionals and the demand for them is growing all over the world. Here are some of the professionals who are enjoying the maximum benefits from Big Data certification.
• Senior IT professionals
• Data Management professionals
• Project managers
• Analytics professionals
• Aspiring data scientists
• Software engineers

Career Outcomes

  • • Hadoop engineer
    • Big data engineer
    • Data mining engineer
    • Competitive intelligence analyst
    • Database administrator
Know More

Cloudera, Hortonworks, IBM are the top Big Data training providers. Though there is no standard exam for Big Data, most of the Big Data certification exam would cover these topics -

- Map Reduce 2 (Practice)
- MR API
- Hadoop Streaming (developing and debugging non Java MR program s Ruby and Python)
- MR algorithm s (Non graph)
- Big HDFS (The Hadoop Distributed File System
- How to think in a MapReduce way?
- MapReduce Architecture
- MR Algorithm and Data Flow
- MR algorithms (Graph )
- Higher Level Abstractions for MR (Pig)

The certification can be taken online or through a formal class room program and the fees generally range15-25K.

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  1. Skillsoft Apache Hadoop for Database Administrators

    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. In short, it provides user a platform for affordable high performance computing. This course offers a learning path that provides an explanation and demonstration of the most popular components in the Hadoop ecosystem. Designed to provide comprehensive knowledge to the candidates, this course gives unlimited access to the online content for six months and offers a course completion certificate that is recognised across the world. It defines and describes theory and architecture, while also providing instruction on installation, configuration, usage, and low-level use cases for the Hadoop ecosystem.

    19 HoursOnline self studyIntermediate
    ₹ 16,287 10% OFF ₹ 14,658 Enquire Now

    java, Big Data, Languages, Administration, Operations

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  2. Skillsoft Apache Hadoop Administrator

    Apache Hadoop is an open source software project that enables distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with very high degree of fault tolerance. This course has been developed to provide the candidates hands-on experience on different Hadoop operations and has high quality learning modules with unlimited access for six months. Content prepared by the experts in the industry, this course covers various topics like cluster planning, installation and administration, resource management and monitoring and logging. A course completion certification is provided to the candidates, which is accepted and recognised across the world.

    765 Students
    28 HoursOnline self studyIntermediate
    ₹ 16,287 10% OFF ₹ 14,658 Enquire Now

    Administration, Operations, java, Cloud Computing

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  3. Skillsoft Apache HBase Fundamentals

    Apache HBase is an open-source, non-relational, distributed database modelled after Google's BigTable and is written in Java. It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System), providing BigTable-like capabilities for Hadoop. This Apache HBase Fundamentals course will provide the candidates with the skills and knowledge on how to install HBase and discusses the HBase architecture and data modelling designs. The course offers unlimited access to the candidates for six months and a course completion certificate, which is recognised all across the world. Providing a career boost for both students and professionals, the modules have been designed by experts in the industry.

    6 HoursOnline self studyBeginner
    ₹ 5,147 10% OFF ₹ 4,632 Enquire Now

    java, Administration

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  4. Big Data Hadoop Expert

    Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.

    Course Selling Partner
  5. Big Data Hadoop & Spark Developer

    Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.

    Course Selling Partner
  6. Hadoop Administrator

    Hadoop is an Apache Software Foundation project and open source software platform for scalable, distributed computing. Hadoop can provide fast and reliable analysis of both structured data and unstructured data. In this course you will learn about the design principles, the cluster architecture, considerations for servers and operating systems, and how to plan for a deployment. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam. | Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.

    31 HoursOnline self studyIntermediate
    $ 61 Enquire Now

    java, Operations

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  7. Big Data Fundamentals

    The course covers the way team works in big data companies, some challenges and opportunities that big data offers. You will also learn how big data is driving organizational change and the main challenges companies face when trying to analyze massive data sets. Besides, some fundamental techniques like big data stack, data mining and stream processing. In this training program, you will come across a number of tools for working with big data. It also lets you learn the technique of storing, processing and deploying in an enterprise scenario. You will gain a deep knowledge of what insights big data can offer through hands-on experience with the tools used by big data experts. At the end of the course, you will have a better understanding of the different applications of big data in industry.

    3 HoursOnline self studyIntermediate
    $ 112 Enquire Now

    Big Data, Cloud Computing

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  8. Apache Kafka

    Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. Professionals who are interested in big data or data analysis career can learn this tool. | This Apache Kafka course provides the candidates with the basic concepts and in-depth understanding of how to deploy it | The course also offers candidates skills on managing servers, data serialization and deserialization techniques, and strategies for testing Kafka | Designed by some of the best professionals in the industry, the course offers quality online learning modules | Upon successful completion, a certification is offered to the candidates

    Course Selling Partner
  9. Apache Storm Introduction

    Apache Storm is a fast and scalable open source distribution system that drives real-time computations. Any aspirants in big data or data analysis can learn this tool to enhance their career path. | This Apache Storm Introduction course has been designed to provide the fundamental knowledge and training so that the learners can have an in-depth understanding of the concepts | The candidates will also get to know about various integrations, which will be introduced in this course | Developed by a group of experts in the field, this course offers candidates hands-on experience on how to deploy the Storm architecture | With quality content, the course also provides a course-completion certificate

    Course Selling Partner
  10. Apache Hadoop and MapReduce Essentials

    A set of algorithms for distributed processing of large data sets on computer clusters built from commodity hardware dubbed as Apache Hadoop. This course provides an introduction on the basic concepts of cloud computing with the help Apache Hadoop, Big Data and cloud computing. It also includes high-level information about operation, concepts, architecture and Hadoop ecosystem. MapReduce programming used for processing parallelizable issues across huge datasets. The course will take you through basics of programming in MapReduce and Hive. This training program is packed with case studies and real-life projects so that you gain a complete knowledge of apache Hadoop and MapReduce.

    Course Selling Partner
  11. Apache Spark Advanced Topics

    Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.

    Course Selling Partner
  12. Big Data Engineering Perspectives

    Big data is a term for data sets so large that traditional data processing applications can not be used to perform any sort of analysis. It is often semi structured or unstructured in form. There are a number of unique challenges that arise when companies begin to use big data. The least of which are the engineering concerns. This course will introduce some of those engineering challenges and describe how some companies have come up with solutions.

    1.1 HoursOnline self studyIntermediate
    $ 61 Enquire Now

    Big Data, Data Visualization

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  13. Apache Spark Fundamentals

    Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.

    3 HoursOnline self studyIntermediate
    $ 61 Enquire Now

    java, Operations

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner

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